干旱区生态环境知识资源中心(Arid): Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China

Arid

DOI	10.1002/hyp.14444
	Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China
	Xie, Mingjuan; Luo, Geping; Hellwich, Olaf; Frankl, Amaury; Zhang, Wenqiang; Chen, Chunbo; Zhang, Chen; De Maeyer, Philippe
通讯作者	Luo, GP (corresponding author)，Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi, Xinjiang, Peoples R China.
来源期刊	HYDROLOGICAL PROCESSES
ISSN	0885-6087
EISSN	1099-1085
出版年	2021
卷号	35 期号:12
英文摘要	The study of water fluxes is important to better understand hydrological cycles in arid regions. Data-driven machine learning models have been recently applied to water flux simulation. Previous studies have built site-scale simulation models of water fluxes for individual sites separately, requiring a large amount of data from each site and significant computation time. For arid areas, there is no consensus as to the optimal model and variable selection method to simulate water fluxes. Using data from seven flux observation sites in the arid region of Northwest China, this study compared the performance of random forest (RF), support vector machine (SVM), back propagation neural network (BPNN), and multiple linear regression (MLR) models in simulating water fluxes. Additionally, the study investigated inter-annual and seasonal variation in water fluxes and the dominant drivers of this variation at different sites. A universal simulation model for water flux was built using the RF approach and key variables as determined by MLR, incorporating data from all sites. Model performance of the SVM algorithm (R-2 = 0.25-0.90) was slightly worse than that of the RF algorithm (R-2 = 0.41-0.91); the BPNN algorithm performed poorly in most cases (R-2 = 0.15-0.88). Similarly, the MLR results were limited and unreliable (R-2 = 0.00-0.66). Using the universal RF model, annual water fluxes were found to be much higher than the precipitation received at each site, and natural oases showed higher fluxes than desert ecosystems. Water fluxes were highest during the growing season (May-September) and lowest during the non-growing season (October-April). Furthermore, the dominant drivers of water flux variation were various among different sites, but the normalized difference vegetation index (NDVI), soil moisture and soil temperature were important at most sites. This study provides useful insights for simulating water fluxes in desert and oasis ecosystems, understanding patterns of variation and the underlying mechanisms. Besides, these results can make a contribution as the decision-making basis to the water management in desert and oasis ecosystems.
英文关键词	desert ecosystem machine learning natural oasis ecosystem random forest water fluxes
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000737864100003
WOS关键词	CARBON FLUXES ; INTERANNUAL VARIATIONS ; EDDY-COVARIANCE ; RANDOM FORESTS ; EVAPOTRANSPIRATION ; REGRESSION ; PRECIPITATION ; EXCHANGE ; DIOXIDE ; CLIMATE
WOS类目	Water Resources
WOS研究方向	Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/375761
作者单位	[Xie, Mingjuan; Luo, Geping; Zhang, Wenqiang; Chen, Chunbo; Zhang, Chen; De Maeyer, Philippe] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi, Peoples R China; [Xie, Mingjuan; Luo, Geping; Zhang, Wenqiang; Chen, Chunbo; Zhang, Chen; De Maeyer, Philippe] Univ Chinese Acad Sci, Beijing, Peoples R China; [Xie, Mingjuan; Frankl, Amaury; Zhang, Wenqiang; De Maeyer, Philippe] Univ Ghent, Dept Geog, Ghent, Belgium; [Xie, Mingjuan; Luo, Geping; Zhang, Wenqiang; De Maeyer, Philippe] Sino Belgian Joint Lab Geoinformat, Urumqi, Peoples R China; [Xie, Mingjuan; Luo, Geping; Zhang, Wenqiang; De Maeyer, Philippe] Sino Belgian Joint Lab Geoinformat, Ghent, Belgium; [Luo, Geping] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi, Peoples R China; [Hellwich, Olaf] Tech Univ Berlin, Dept Comp Vis & Remote Sensing, Berlin, Germany; [Frankl, Amaury] Univ Montpellier, CNRS, INRAE, AMAP,IRD,CIRAD, Montpellier, France
推荐引用方式 GB/T 7714	Xie, Mingjuan,Luo, Geping,Hellwich, Olaf,et al. Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China[J],2021,35(12).
APA	Xie, Mingjuan.,Luo, Geping.,Hellwich, Olaf.,Frankl, Amaury.,Zhang, Wenqiang.,...&De Maeyer, Philippe.(2021).Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China.HYDROLOGICAL PROCESSES,35(12).
MLA	Xie, Mingjuan,et al."Simulation of site-scale water fluxes in desert and natural oasis ecosystems of the arid region in Northwest China".HYDROLOGICAL PROCESSES 35.12(2021).